Papers by Dr. aqeel hamad
University of Thi-Qar journal for engineering sciences, Apr 1, 2021
Real time monitoring with IOT is developed in the industry of health care , this can enable the d... more Real time monitoring with IOT is developed in the industry of health care , this can enable the doctors and specialist to diagnosis the patient status in quick, smart and efficient methods. Although, there is a lot of research and studies are designed methods for observing the ECG signal remotely, there are no proposed methods for classifying these signals with monitoring, and therefore , to design complete health care system, classification techniques should be used to classify the extracted signal. In this paper , We have proposed ECG monitoring and classification system. The proposed system is extracted ECG signal based on AD8232 sensor with the ardunino nodeMcu, analog to digital converter and its communication is used to convert the signal to more precision , then the extracted signal is transmitted to cloud to be used at anywhere by using cloud, the signal is pre-processed to remove the noise and QRS complex is detected to determine the other characteristics of the signal such as heart rate, also to determine one cycle of ECG signal, later the signal is classified by using proposed convolution neural network model to detect the signal status. The extracted ECG signal is transmitted in real time to cloud (Ubidots cloud is used) through ESP8266 over to the cloud using WiFi based on MQTT publishing method. The experimental results are performed on different signals and the different stage of denoising and QRS detection are applied and different pooling layers are used in the proposed CNN model. The results show that the proposed classification model is achieved accuracy (94.94%) with (94.56%), (94.56%) and (5.06) for sensitivity, specificity and error rate (ERR) respectively.
University of Thi-Qar Journal of Science, 2019
Routers can forward packets through an internetwork by maintaining routing information in a datab... more Routers can forward packets through an internetwork by maintaining routing information in a database called a routing table. The routing table typically contains the address of all known networks and routing information about that network such as: Interface, Routing Path, Next Hop, Route Metric (Cost) and Route Timeout Routers build and maintain their routing database by periodically sharing information with other routers. The exact format of these exchanges is based on the routing protocol. The output of this study is Compare between routing protocols (Routing Information Protocol v2 and Enhanced Interior Gateway Routing Protocol).Design and implementation by using (GNS3) Graphical Network Simulator and we also Configuring the exchange of routing information between routing protocols is called route redistribution. Redistribution can be done between various Interior Gateway Routing Protocol routing protocols.
International Journal on Smart Sensing and Intelligent Systems
Convolution is considered most significant layer in deep learning because it can extract best fea... more Convolution is considered most significant layer in deep learning because it can extract best features of data through the network but it may result in huge volume of data. This problem can be solved by using pooling. In this paper, A novel pooling method is proposed by using discrete Fourier transform (DFT), this method is used DFT technique to transform the data from spatial domain into frequency domain to preserve the most important information from the details coefficients, where the details information of the image is less significant, therefore it can be discarded to down sample the size of dimensions. Its effect will be great with advantage of reducing the eliminated details information as compared with other standard methods. After applying DFT, the most significant coefficients, which represent most important features are cropped while less important details will be discarded then the data are reconstructed by applying inverse DF, therefore the high quality of features are ...
2015 Fourth International Conference on Future Generation Communication Technology (FGCT), 2015
Resumen. Con el propósito de estabilizar un complemento nutricional líquido para niños, se ensaya... more Resumen. Con el propósito de estabilizar un complemento nutricional líquido para niños, se ensayaron desde el punto de vista reológico; en una primera etapa, tres mezclas de hidrocoloides (T1: 100% goma xántica, T2: 50% goma xántica, 50% goma algarrobo y T3: 33, 3% goma xántica, 33,3% goma algarrobo, 33,3% carragenina kappa), dosificados en un nivel del 0,2% a las que se les determinó el efecto sobre las características sensoriales de importancia para la población a la que estaba dirigida. En una segunda etapa se evaluó la estabilidad reológica, sensorial y microbiológica de una bebida mantenida durante 20 días en refrigeración y estabilizada con 0,1% (T1'), 0,2% (T2´) y 0,3% (T3´) del hidrocoloide seleccionado en la etapa uno. Se concluye que la mezcla en partes iguales de los tres hidrocoloides (T3), fue la preferida por los niños y que los niveles de uso T1' , T2´ y T3´ no mostraron diferencias significativas para las variables analizadas, pero la mejor opción y la menor varianza fueron para la bebida estabilizada con 0,2% (T2´) del hidrocoloide; no obstante, el tratamiento de menor costo fue para la bebida estabilizada con 0,1% (T1´) del hidrocoloide.
Periodicals of Engineering and Natural Sciences (PEN)
Deep learning can be used to learn huge volume of data, which will be processed through hidden la... more Deep learning can be used to learn huge volume of data, which will be processed through hidden layers and according to the number of hidden layers ,filter size and numbers and the required computation cost is increased because of the size of raw data, this problem can be avoided by using pooling techniques, different method s are proposed to extract the basic features of the signal instead of all signal, but unfortunately this operation may introduce some noise or omission because of elimination important data from the signal. In this paper, A novel pooling method are proposed based on discrete cosine transform , this method is utilized DCT technique to reduce spatial redundancy of image by transform the spatial domain into frequency domain , which can preserve the most significant image information from the other coefficients, which represents the other details information of the image, so discard these less important coefficients. Its effect will be slight and this can reduce the eliminated information as compared with other methods. After applying DCT, we crop the most significant coefficients to be used in the reconstructed data by applying inverse DCT . then the result is combined in different methods with Max pooling and average pooling methods, this new structure can reduce the effect of discarding most important information and reduce the drawbacks of average and Max. pooling method. إلhe results are proved that our proposed methods are outperformed some standard methods and can be used in more application.
A New IOT Image Encryption Algorithm based on Chaotic Map
Webology
IOT information is always subjected to attacks, because component of the IOT system always unsupe... more IOT information is always subjected to attacks, because component of the IOT system always unsupervised for most of time, also due to simplicity of wireless communication media, so there is high chance for attack, lastly, IOT is constraint device in terms of energy and computation complexity. So, different research and study are proposed to provide cryptographic algorithm. In this paper, a new image encryption is proposed based on anew chaotic map used to generate the binary key. The proposed map is three dimensional map, which is more sensitive to initial condition, each dimension of the 3-D chaotic map is depended on the others dimension, which may increase the randomness of the behavior trajectory for the next values and this gives the algorithm the ability to resist any attacks. At first, 3-D chaotic map is proposed, which is very sensitive for initial condition, the three dimension is depended on each other, which make the system more randomness, then the produced sequences is ...
Discrete Cosine Transform based ECG Signal Analysis and Processing
Webology
Cardiovascular disease (CADs) is considered the primary leading cause of death. Irregular activit... more Cardiovascular disease (CADs) is considered the primary leading cause of death. Irregular activity of heart, these disease can be detected and classified by Electrocardiogram (ECG), which is constructed from using electrodes placed on human skin to record the electrical activity of the heart. Because QRS complex represents the basic part of the ECG signal, these components should be recognized in order to analysis the other characteristics of the signal. Different methods and algorithms are proposed to analysis and processing the ECG signal. In this paper, a new QRS complex recognition method are proposed based on discrete cosine transform (DCT) with variable adaptive threshold method, which is used to determine threshold based on characteristic of each ECG signal to detect upper and lower levels of threshold to detect the peak of the signal. At first, the DCT is applied to the ECG signal to isolate it into different coefficients and eliminate or reduce the noises of the signal base...
Mixed Noise Denoising Using Neuro Fuzzy and Memetic Algorithm
This paper proposes denoised images from mixed noise of type Gaussian with Salt and Pepper. These... more This paper proposes denoised images from mixed noise of type Gaussian with Salt and Pepper. These noises are denoised by using hybrid filters. These hybrid filters come from join neuro fuzzy system (which also hybrid system join fuzzy system with neural network) with famous image filter which is mean filter. Memetic algorithms be accustomed to determine the best parameters for neuro fuzzy system that is the suitable numbers of fuzzy set for every input and also the advisable input and output weights of neuro fuzzy system. For evaluating the performance of hybrid filter, PSNR (peak signal to noise ratio) are used and all the results of hybrid filters will be compared with the famous image filters that are mean and median filters. The empirical results show that hybrid filters deliver the best results even the density of both (Gaussian and Salt & Pepper) noise is high.
Wireless sensor network is the field in which there are mobile sensor nodes. WSNs field is becomi... more Wireless sensor network is the field in which there are mobile sensor nodes. WSNs field is becoming immensely popular with thousands of tiny sensor nodes because of their vast applicability in myriad of applications for e.g. collecting data from unattended hazardous environments, monitoring, emergency rescue operations, and surveillance in military in the hostile, unfavourable terrains. Mobile Wireless Sensor Networks is an arising area for research in contradiction to their well-entrenched predecessor. Such networks are more versatile, flexible than the static sensor networks because in any scenario, the mobile wireless sensor networks can be deployed and contend with brisk topology variations. In this paper an event-triggered localization algorithm is proposed which is based on Radio Frequency with infrared Frequency fingerprint and RSSI with PSO techniques. The localization algorithm is applied for curtailing the error of average localization for mobile WSN and it also utilized f...
Virtual and physical parallelism environments evaluation
2015 Fourth International Conference on Future Generation Communication Technology (FGCT), 2015
Parallelism is the concept that associates with executing a problem by multi-computer. This conce... more Parallelism is the concept that associates with executing a problem by multi-computer. This concept is used for increasing multitasks performance execution effectively. Many algorithms, techniques, architectures, frameworks, and environments are found to enhance this concept and finally enhance the performance. However, two basic environments already exist to be used by parallelism; these two environments are Virtual and Physical parallelism. Both of these two runtime environments have their features, advantages and disadvantages. The paper focuses on analyze, evaluate and clarify some differences between these two environments. Results in this proposal depend on real case study executed via JavaThread, OpenMP, MPI in virtual environment and an MPI in physical environment. Implementation of the case study and validation results are shown and they clearly clarify the advantages, disadvantages and limits of using any runtime of them.
Heart disease diagnosis based on deep learning network
Heart disease is the leading cause of death, the cardiovascular disease (CVD) is the major cause ... more Heart disease is the leading cause of death, the cardiovascular disease (CVD) is the major cause of the death world wide according to world health organization. Over 30% of global death was because CVD. However it is considered as controllable disease, so early and accurate diagnosis of heart disease is essential to administrating early and optimal treatment in order to increase long –term survival. Early detection can lead to reduce disease progression. In this paper, we propose a new deep neural network that can be used as classifier in heart disease prediction system, the data base is splitted into training and testing parts, the training data are prepressed by extracting its features in order to perform data augmentation, then the augmented data are training by the designed new model that can increase the accuracy of heart disease detection. from the experimental results, the proposed model provide significant improvement in the prediction of the disease in terms of accuracy, se...
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Papers by Dr. aqeel hamad